Update README.md

README.md

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 # Landmark Attention LLaMA 33B
 
-This model has been trained using the PEFT LoRA method using the [Landmark Attention](https://arxiv.org/abs/2305.16300) method over 200 steps. Model will likely be trained further and updated later on.
+This model has been trained using the PEFT LoRA technique with the [Landmark Attention](https://arxiv.org/abs/2305.16300) method over 200 steps. Model will likely be trained further and updated later on.
 
 ## Usage
 
-Unlikely to be usable with the popular frontends (e.g. [KoboldAI](https://github.com/henk717/KoboldAI) and [Oobabooga](https://github.com/oobabooga/text-generation-webui)) due to the lack of support for landmark tokens.
+Requires `trust_remote_code` to be set to `True`. In [oobabooga](https://github.com/oobabooga/text-generation-webui), you can simply add the `--trust_remote_code` flag. 
+
+You will also need to disable the `Add the bos_token to the beginning of prompts` option in the settings.
 
 ## PEFT Checkpoint
 
-You can likely merge the checkpoint with any other LLaMA-based model (provided they're 33B, of course). This repo contains the merged weights, but you can grab the adapter [here](https://anonfiles.com/F3Pb20wbz7).
+You can probably merge the checkpoint with any other LLaMA-based model (provided they're 33B, of course). This repo contains the merged weights, but you can grab the adapter [here](https://anonfiles.com/F3Pb20wbz7).
+
+## Training Code
+
+You can find the training code [here](https://github.com/eugenepentland/landmark-attention-qlora).